{"id":"W7066893126","doi":"","title":"“Industrial Concentration, Economic Growth, and Inequality dynamics throughout the stages of industrialisation: a comparative and transnational analysis”","year":2020,"lang":"en","type":"other","venue":"Leiden Repository (Leiden University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Economic inequality; Context (archaeology); Squire; Gini coefficient; Index (typography); Income distribution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015832,0.0002056632,0.0002054423,0.005844423,0.0006831957,0.001956675,0.0003086422,0.0003653698,0.002724572],"category_scores_gemma":[0.001785101,0.0001447374,0.0005011124,0.01053682,0.001727308,0.002702649,0.001314206,0.0005453192,0.0002494129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038547,"about_ca_system_score_gemma":0.0006347936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01148637,"about_ca_topic_score_gemma":0.01263745,"domain_scores_codex":[0.999626,0.0001682544,0.0000188409,0.00005336256,0.00005117386,0.00008240982],"domain_scores_gemma":[0.9990878,0.0004400025,0.0002115198,0.00006405365,0.0001372106,0.00005945752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002943024,0.00006411236,0.5076444,0.0005768547,0.0005878848,0.001243169,0.04815107,0.002916193,0.0009861041,0.3222857,0.009553412,0.1056967],"study_design_scores_gemma":[0.000008437175,0.000146378,0.8971437,0.0004602411,0.000211582,0.0006022534,0.03677225,0.002573761,0.0004763809,0.01412354,0.0474517,0.00002985063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9163039,0.02112936,0.003306479,0.004140309,0.0001188491,0.00003526822,0.001062402,0.00001980988,0.05388362],"genre_scores_gemma":[0.9886234,0.007590888,0.001242729,0.0001328641,0.00009229863,0.00002714685,0.0006791044,0.00001044633,0.001601207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01148637,"threshold_uncertainty_score":0.02283907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04505945546264191,"score_gpt":0.262910627897614,"score_spread":0.2178511724349721,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}